Abstract

Binarization is a critical step in analysis of retinal optical coherence tomography angiography (OCTA) images, but the repeatability of metrics produced from various binarization methods has not been fully assessed. This study set out to examine the repeatability of OCTA quantification metrics produced using different binarization thresholding methods, all of which have been applied in previous studies, across multiple devices and plexuses. Successive 3 × 3 mm foveal OCTA images of 13 healthy eyes were obtained on three different devices. For each image, contrast adjustments, 3 image processing techniques (linear registration, histogram normalization, and contrast-limited adaptive histogram equalization), and 11 binarization thresholding methods were independently applied. Vessel area density (VAD) and vessel length were calculated for retinal vascular images. Choriocapillaris (CC) images were quantified for VAD and flow deficit metrics. Repeatability, measured using the intra-class correlation coefficient, was inconsistent and generally not high (ICC < 0.8) across binarization thresholds, devices, and plexuses. In retinal vascular images, local thresholds tended to incorrectly binarize the foveal avascular zone as white (i.e., wrongly indicating flow). No image processing technique analyzed consistently resulted in highly repeatable metrics. Across contrast changes, retinal vascular images showed the lowest repeatability and CC images showed the highest.

Highlights

  • Binarization is a critical step in analysis of retinal optical coherence tomography angiography (OCTA) images, but the repeatability of metrics produced from various binarization methods has not been fully assessed

  • The most common metric used in OCTA analysis is vessel area density (VAD), which analyzes the proportion of white pixels in a binarized OCTA image in an attempt to quantify the amount of blood flow

  • Another common metric used in retinal vascular OCTA images is vessel length (VL), which totals the length of vessels in a skeletonized image

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Summary

Introduction

Binarization is a critical step in analysis of retinal optical coherence tomography angiography (OCTA) images, but the repeatability of metrics produced from various binarization methods has not been fully assessed. This study set out to examine the repeatability of OCTA quantification metrics produced using different binarization thresholding methods, all of which have been applied in previous studies, across multiple devices and plexuses. The most common metric used in OCTA analysis is vessel area density (VAD), which analyzes the proportion of white pixels in a binarized OCTA image in an attempt to quantify the amount of blood flow. Another common metric used in retinal vascular OCTA images is vessel length (VL), which totals the length of vessels in a skeletonized image. We assessed whether contrast changes and several image processing techniques, including registration, histogram normalization, and contrast-limited adaptive histogram equalization, affect repeatability

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